ECE Seminar Series on Modern Artificial Intelligence presents:
OBSTACLES TO PROGRESS IN DEEP LEARNING & AI
Yann LeCun — Facebook, Director of AI Research & Silver Professor at NYU
The Seminar Series in Modern Artificial Intelligence begins a new tradition at New York University. The series will be held at NYU Tandon School of Engineering and is hosted by the Department of Electrical and Computer Engineering. Organized by Professor Anna Choromanska, the series aims to bring together faculty and students to discuss the most important research trends in the world of AI. The speakers include world-renowned experts whose research is making an immense impact on the development of new machine learning techniques and technologies and helping to build a better, smarter, more-connected world.
Deep learning is causing revolutions in computer perception and natural language understanding. But almost all these successes largely rely on supervised
learning, where the machine is required to predict human-provided annotations. For game AI, most systems use model-free reinforcement learning, which requires too many trials to be practical in the real world. But animals and humans seem to learn vast amounts of knowledge about how the world works through mere observation and occasional actions. Good predictive world models are an essential component of intelligent behavior: with them, one can predict outcomes and plan courses of actions. One could argue that prediction is the essence of intelligence. Good predictive models may be the basis of intuition, reasoning and “common sense”, allowing us to fill in missing information: predicting the future from the past and present, the past from the present, or the state of the world from noisy percepts. After a brief presentation of the state of the art in deep learning, some promising principles and methods for predictive learning will be discussed.
Yann LeCun Biography
Yann LeCun is Director of Facebook AI Research and Silver Professor at NYU, affiliated with the Courant Institute and the Center for Data Science. He received a Ph.D. in Computer Science from Université P&M Curie (Paris). After a postdoc at the University of Toronto, he joined AT&T Bell Labs, and became head of Image Processing Research at AT&T Labs in 1996. He joined NYU in 2003 and Facebook in 2013. His current interests include AI, machine learning, computer vision, mobile robotics, and computational neuroscience. He is a member of the National Academy of Engineering.
Free and open to the public
This event will be live-streamed on engineering.nyu.edu/live
- March 19, 2018: Yoshua Bengio, University of Montreal
- April 5, 2018: Stefano Soatto, UCLA and AWS
- May 4, 2018: Vladimir Vapnik, Columbia University and Facebook AI Research